Model Context Protocol (MCP)
The Model Context Protocol (MCP) is an open standard developed by Anthropic in 2024 and widely adopted in 2025 by OpenAI, Google, and Microsoft. It defines a standardized way for AI agents to connect to external tools, data sources, and enterprise systems — without requiring custom integrations for every connection. MCP acts as a universal interface: an AI agent with MCP support can securely access databases, APIs, document repositories, and business applications using a consistent protocol, regardless of the underlying system. This dramatically simplifies how AI is embedded into complex enterprise environments.
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Internal Communication
Internal communication is particularly important for corporate communication. It communicates important information from leadership to staff so that they can do their jobs in the best possible way and work processes run well.
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Human-in-the-Loop (HITL)
Human-in-the-loop (HITL) refers to a design pattern in AI systems where a human is involved at specific decision points to review, approve, or correct the AI's actions before they are executed. Rather than running fully autonomously, the system pauses at predefined checkpoints and waits for human confirmation — particularly for high-stakes or irreversible actions. HITL works alongside AI guardrails as a key governance principle in enterprise Agentic AI, balancing the efficiency of automation with accountability and human judgment.
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Screen presentation
A screen presentation refers to a presentation delivered entirely via a computer or device screen, without a physical projection setup. It is common in video calls, webinars, and remote meetings where the presenter shares their screen with participants. Screen presentations place greater emphasis on slide clarity, font size, and content structure, since the audience views content on varying screen sizes. They are increasingly the dominant format as remote and hybrid work has grown.
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